Research Working Papers

Methodology · machine-learning

Schema-constrained LLM extraction

3 papers

WP20

From Listing Images to Property Valuation: A Multimodal AI Framework for Automated Building Characterization and the Cost Approach

Evidence from Québec single-family listings matched to the assessment roll

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v1.0

The cost approach to value requires a specification of the improvements — materials, finish grade, condition, renovations — that assessment rolls do not record and that appraisers obtain by inspection. This paper asks whether that specification can be extracted from the photographs and text of a for-sale listing by…

WP14

Hedonic House Pricing with Language-Model and Vision Features: Evidence from Quebec Real-Estate Listings

Simon-Pierre Boucher · UQO Working Papers · October 2026 · v2.1

Hedonic house-price models are bounded by the characteristics an analyst can measure, yet much of a home's value is recorded only in the free-text description and photographs of its listing. This paper treats general-purpose AI models as a feature-engineering technology: a large language model converts each…

FIRC0001

From Corporate Disclosures to a Russell 3000 Strategic Project Database: Identification, Measurement, Validation, and Research Applications

Manel Kammoun, Djerrycharli Tandjambianda and Simon-Pierre Boucher · FIRC Research Papers · October 2026 · v1.0

This paper documents the construction of SPID, a project-level research database that reconstructs the strategic initiatives disclosed by U.S.-listed companies in their SEC filings. Starting from an issuer universe that merges a current S&P 500 snapshot with the holdings of the iShares Russell 3000 ETF (2,564 distinct…